| Package | Description | 
|---|---|
| org.hipparchus.optim | 
 
  Generally, optimizers are algorithms that will either
   
minimize or
  maximize
  a scalar function, called the
  objective
  function. | 
| org.hipparchus.optim.nonlinear.scalar | 
 Algorithms for optimizing a scalar function. 
 | 
| org.hipparchus.random | 
 Random number and random data generators. 
 | 
| org.hipparchus.samples | 
 Various examples. 
 | 
| Constructor and Description | 
|---|
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<P> optimizer,
                                   int starts,
                                   RandomVectorGenerator generator)
Create a multi-start optimizer from a single-start optimizer. 
 | 
| Constructor and Description | 
|---|
MultiStartMultivariateOptimizer(MultivariateOptimizer optimizer,
                               int starts,
                               RandomVectorGenerator generator)
Create a multi-start optimizer from a single-start optimizer. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
CorrelatedRandomVectorGenerator
A  
RandomVectorGenerator that generates vectors with with
 correlated components. | 
class  | 
HaltonSequenceGenerator
Implementation of a Halton sequence. 
 | 
class  | 
SobolSequenceGenerator
Implementation of a Sobol sequence. 
 | 
class  | 
UncorrelatedRandomVectorGenerator
A  
RandomVectorGenerator that generates vectors with uncorrelated components. | 
class  | 
UnitSphereRandomVectorGenerator
Generate random vectors isotropically located on the surface of a sphere. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
static List<Vector2D> | 
LowDiscrepancyGeneratorComparison.makeCircle(int samples,
          RandomVectorGenerator generator)  | 
static List<Vector2D> | 
LowDiscrepancyGeneratorComparison.makeRandom(int samples,
          RandomVectorGenerator generator)  | 
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